code: def test_simple(self, gc):
      in_centers = [(0, 0), (20, 20), (50, 50)]
      in_scores = [0.9, 0.8, 0.6]
      boxes, scores = gen_multiple_boxes(in_centers, in_scores, 10, 2)
  
      gt_boxes, gt_scores = gen_multiple_boxes(
          in_centers, in_scores, 1, 1
      )
      gt_classes = np.ones(gt_boxes.shape[0], dtype=np.float32)
  
      op = get_op(2, 3, {"score_thresh": 0.5, "nms": 0.9})
  
      def ref(*args, **kwargs):
          return (gt_scores.flatten(), gt_boxes, gt_classes)
  
      self.assertReferenceChecks(gc, op, [scores, boxes], ref)
  
file_path: pytorch/caffe2/python/operator_test/box_with_nms_limit_op_test.py
imports: from caffe2.python import core
  import caffe2.python.hypothesis_test_util
  import caffe2.python.serialized_test.serialized_test_util
  from hypothesis import given, settings
  import hypothesis.strategies
  import unittest
  import numpy
label_desc: Use image node_id 1 for calling the TestBoxWithNMSLimitOp obj's underlying member method code with example usage: obj.test_simple(gc) and returns: gt_scores,  gt_boxes,  gt_classes